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Infrastructure & DevOps

runeward

Last updated 2026-07-12 · benchmark checked 2026-09-11 · unchanged since 2026-08-06 — deterministic & reproducible

Governed execution sandboxes for AI agents with policy enforcement and audit trails.

50/100
7/7 frames
Top 97% of 14,181 measured · #32 of 34 in ai agent governance platform
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-09-11 · scores move as sites change

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To cite this score: legit.show/s/runewardd-github-io/2026-09-11. That address never changes; this page moves with every re-measure.

Legit.Show scored runeward 50/100 on 2026-09-11, measured across all 7 frames from its public surface. legit.show/s/runewardd-github-io/2026-09-11

Is runeward production-ready?

Legit.Show scores runeward 50 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on runeward (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Performance; its weakest is Discoverability. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who it's for

AI agent developers · DevOps engineers · Security teams · Enterprise teams running agent fleets

Sources and updates

Description
Taken from runewardd.github.io's own website on 2026-07-12.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-09-11.

Put together from public information, without runeward's involvement. If anything here is wrong, tell us and a person will check it.

Visit runeward → · Alternatives to runeward → · How this was measured →

See how runeward ranks among tested ai agent governance platform products →

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